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Arden Hills, MN <br />Pavement Condition Assessment and Analysis <br />The 3D cameras can detect one -millimeter -wide cracks and full -lane -width rutting, as required by ASTM <br />D6433, on the pavement surface at speeds up to 65 mph. Due to the versatility of the LCMS-2 <br />technology, the automated pavement condition survey will be performed at near posted speeds, and <br />traffic control will not be necessary for the data collection effort. Pavement data collection and imagery <br />surveys are expected to progress at a rate of between 35 and 50 miles per day for the City. <br />The IMS team then processes the collected data using a combination of advanced analytical tools and <br />rigorous, manual QC/QA performed by IMS' certified Pavement Condition Index (PCI) raters to <br />determine accurate and repeatable PCI values for each roadway segment. Furthermore, we deliver our <br />PCI ratings and supporting data (distress information, rutting, and IRI values) in both spreadsheet and <br />GIS formats for easy review. The data that we provide may be used immediately for decision making or <br />be imported into any pavement management system. <br />During data collection, IMS implements routines that are performed each day of data collection to <br />ensure data consistency. These include: <br />• Equipment is calibrated, and daily reports are completed. <br />• All sensors are continually monitored to ensure they are receiving data within specification. <br />• The Crew Chief and operator manually monitor the HD digital images, GPS, distress recorder, <br />roughness measurements, and rutting data. <br />• Each street is noted on the inventory and map, as well as through GPS and assignment of the <br />RST van number. <br />• Production is tracked and records of coverage are <br />documented. <br />• A corrective action plan is followed, as necessary. <br />• All data is backed up and sent to the IMS main office for <br />processing. <br />ASTM D6433 Pavement Condition Evaluation <br />During and following the data collection effort, our team will <br />evaluate all collected pavement imagery and surface <br />measurements to arrive at Pavement Condition Index (PCI) values. <br />This is a six -step process that includes the following tasks: <br />1. RoadlnspectTM Pavement Distress Detection — Cracks, <br />rutting, and other pavement distresses are automatically <br />detected in both the 2D and 3D pavement images. IRI <br />values are also calculated at this time. (Note: The <br />Roadlnspect'software was developed by Pavemetrics, the <br />firm that manufactures the LCMS-2 technology.) <br />LCMS-2 cracking data in QC/QA review <br />stage. <br />IMS Pavement Distress Classification — Pavement distresses detected by the RoadlnspectTm <br />software are then classified by type (e.g., alligator cracking, bleeding, edge cracking, etc.) and <br />severity (e.g., low, medium, or high) based on predefined criteria (e.g., ASTM D6433). IMS has <br />created a suite of custom tools that include rule -based algorithms in conjunction with artificial <br />intelligence to accurately classify pavement distresses. <br />IMS PCI Calculation — Pavement distress data is imported into IMS' PCI calculation software, and <br />PCI values are determined for each roadway segment using a scale from zero (0) to one hundred <br />(100) as defined in ASTM D6433. <br />IMS Infrastructure Management Services, LP 4 <br />